The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and challenging problems in the industry. ResponsibilityAdapt standard machine learning methods leveraging modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements from XFN teamsCode deliverables in tandem with the engineering team Minimum Qualifications6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred QualificationsMasters degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TF Job Type: Contract Pay: $60.00 - $65.00 per hour Application Question(s): Are you a USC/GC Holder? Do you an active LinkedIn ID? Security clearance: Confidential (Required) Work Location: Remote